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An investigation into the vehicle routing problem with time windows and link capacity constraints

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Author Info

  • Ma, Hong
  • Cheang, Brenda
  • Lim, Andrew
  • Zhang, Lei
  • Zhu, Yi
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    Abstract

    In this work, we investigate a new, yet practical, variant of the vehicle routing problem called the vehicle routing problem with time windows and link capacity constraints (VRPTWLC). The problem considers new constraints imposed on road links with regard to vehicle passing tonnage, which is motivated by a business project with a Hong Kong transportation company that transports hazardous materials (hazmats) across the city and between Hong Kong and mainland China. In order to solve this computationally challenging problem, we develop a tabu search heuristic with an adaptive penalty mechanism (TSAP) to help manage the company's vehicle fleet. A new data set and its generation scheme are also presented to help validate our solutions. Extensive computational experiments are conducted, showing the effectiveness of the proposed solution approach.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 40 (2012)
    Issue (Month): 3 ()
    Pages: 336-347

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    Handle: RePEc:eee:jomega:v:40:y:2012:i:3:p:336-347

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    Related research

    Keywords: Fleet management; Vehicle routing; Link capacity; Hazardous materials; Heuristic;

    References

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    1. Ioannou, George & Kritikos, Manolis & Prastacos, Gregory, 2003. "A problem generator-solver heuristic for vehicle routing with soft time windows," Omega, Elsevier, vol. 31(1), pages 41-53, February.
    2. Wang, Xiubin & Regan, Amelia C., 2002. "Local truckload pickup and delivery with hard time window constraints," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 97-112, February.
    3. Zografos, Konstantinos G. & Androutsopoulos, Konstantinos N., 2004. "A heuristic algorithm for solving hazardous materials distribution problems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 507-519, January.
    4. Anken, F. & Beasley, J.E., 2012. "Corporate structure optimisation for multinational companies," Omega, Elsevier, vol. 40(2), pages 230-243, April.
    5. Li, Haibing & Lim, Andrew, 2003. "Local search with annealing-like restarts to solve the VRPTW," European Journal of Operational Research, Elsevier, vol. 150(1), pages 115-127, October.
    6. Rodrigo Garrido, 2008. "Road Pricing for Hazardous Materials Transportation in Urban Networks," Networks and Spatial Economics, Springer, vol. 8(2), pages 273-285, September.
    7. John P. Norback & Robert F. Love, 1977. "Geometric Approaches to Solving the Traveling Salesman Problem," Management Science, INFORMS, vol. 23(11), pages 1208-1223, July.
    8. Jacobson, Sheldon H. & McLay, Laura A., 2009. "Applying statistical tests to empirically compare tabu search parameters for MAX 3-SATISFIABILITY: A case study," Omega, Elsevier, vol. 37(3), pages 522-534, June.
    9. Grabowski, Jøzef & Pempera, Jaroslaw, 2007. "The permutation flow shop problem with blocking. A tabu search approach," Omega, Elsevier, vol. 35(3), pages 302-311, June.
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    Cited by:
    1. Liu, Ran & Xie, Xiaolan & Garaix, Thierry, 2014. "Hybridization of tabu search with feasible and infeasible local searches for periodic home health care logistics," Omega, Elsevier, vol. 47(C), pages 17-32.

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